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ISCAS
2006
IEEE
143views Hardware» more  ISCAS 2006»
13 years 11 months ago
Dynamic computation in a recurrent network of heterogeneous silicon neurons
Abstract—We describe a neuromorphic chip with a twolayer excitatory-inhibitory recurrent network of spiking neurons that exhibits localized clusters of neural activity. Unlike ot...
Paul Merolla, Kwabena Boahen
NECO
2010
147views more  NECO 2010»
13 years 3 months ago
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
Lars Büsing, Benjamin Schrauwen, Robert A. Le...
ISCAS
2006
IEEE
133views Hardware» more  ISCAS 2006»
13 years 11 months ago
Neuronal ion-channel dynamics in silicon
Abstract— We present a simple silicon circuit for modelling voltagedependent ion channels found within neural cells, capturing both the gating particle’s sigmoidal activation (...
Kai M. Hynna, Kwabena Boahen
NECO
2008
156views more  NECO 2008»
13 years 4 months ago
Dynamical Constraints on Using Precise Spike Timing to Compute in Recurrent Cortical Networks
ns. We have previously developed an abstract dynamical system for networks of spiking neurons that has allowed us to identify the criterion for the stationary dynamics of a network...
Arunava Banerjee, Peggy Seriès, Alexandre P...
NECO
2006
76views more  NECO 2006»
13 years 4 months ago
Spontaneous Dynamics of Asymmetric Random Recurrent Spiking Neural Networks
We study in this paper the effect of an unique initial stimulation on random recurrent networks of leaky integrate and fire neurons. Indeed given a stochastic connectivity this so...
Hédi Soula, Guillaume Beslon, Olivier Mazet